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Hi,
Thanks for the nice package.
I am running bias_correction v0.4 in a Miniconda virtual environment with Python3.11.
The monthly rainfall dataset I am using works for the basic_quantile and modified quantile
Hi,
Thanks for the nice package.
I am running bias_correction v0.4 in a Miniconda virtual environment with Python3.11.
The monthly rainfall dataset I am using works for the basic_quantile and modified quantile
ds = xr.open_dataset("LME_GPCC_monthly_rainfall.nc")
xbc = XBiasCorrection(ds['obs_data'], ds['model_data'], ds['sce_data'])
BCda1 = xbc.correct(method='basic_quantile')
but with quantile_mapping returns:
ValueError: zero-size array to reduction operation minimum which has no identity
and the normal_mapping returns:
ValueError: array must not contain infs or NaNs
LME_GPCC_monthly_rainfall.zip
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